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davidatoms/README.md

David Adams Automatic GitHub Readme

Last Updated: March 01, 2025 at 22:29 (60/365 (0.164) of the year)

I am passionate about a better tomorrow through innovation and investments. Find my resume here.

Recent Repositories

davidatoms - David Adams' personal repository showcasing his projects, coding samples, and professional profile.

jupyter_tool - The jupyter_tool repository provides Python tools for programmatically creating, loading, and manipulating Jupyter notebooks, enabling AI agents to interact with notebook content.

fabric - fabric is an open-source framework that augments humans using AI by breaking down problems into components and applying customizable AI prompts (called Patterns) to each component.

buster - Buster is a modern analytics platform built from the ground up with AI in mind, offering a data warehouse and BI tools to enable powerful, self-serve experiences.

gnome-calendar - GNOME Calendar is a simple and beautifully designed calendar application for the GNOME desktop environment, focusing on attention to detail and design.

supervision - Supervision is an open-source Python library providing reusable computer vision tools for loading datasets, visualizing detections, and integrating with popular models and libraries.

microeconomic-modeling - This repository models various companies' cost, revenue, and profit functions using mathematical economic principles, aiming to forecast financial metrics and analyze strategic decisions.

DeepLearningFlappyBird - This repository implements a Deep Q-Network (DQN) algorithm to train an AI agent to play the Flappy Bird game using deep reinforcement learning techniques on raw pixel inputs.

notebooks - This repository offers computer vision tutorials for training state-of-the-art models like YOLOv12, Qwen2.5-VL, PaliGemma 2, and SAM 2.1 on various tasks such as object detection, segmentation, data extraction, and OCR.

inference - Inference turns any device into an AI-powered computer vision hub, allowing you to self-host models, build composable workflows, connect to video streams, integrate with external systems, and deploy production-ready CV applications.

Project descriptions generated by Anthropic's Claude, backed by GitHub Actions


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